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Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards
BackgroundGrapevine trunk diseases (GTDs) such as Esca are among the most devastating threats to viticulture. Due to the lack of efficient preventive...
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Biomass estimation of cultivated red algae Pyropia using unmanned aerial platform based multispectral imaging
BackgroundPyropia is an economically advantageous genus of red macroalgae, which has been cultivated in the coastal areas of East Asia for over...
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Forecasting carrot yield with optimal timing of Sentinel 2 image acquisition
Accurate, non-destructive forecasting of carrot yield is difficult due to its subterranean growing habit. Furthermore, the timing of forecasting...
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Testing the efficacy of hyperspectral (AVIRIS-NG), multispectral (Sentinel-2) and radar (Sentinel-1) remote sensing images to detect native and invasive non-native trees
Invasive alien species threaten tropical grasslands and native biodiversity across the globe, including in the natural mosaic of native grasslands...
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Ageing human bone marrow mesenchymal stem cells have depleted NAD(P)H and distinct multispectral autofluorescence
Stem cell exhaustion plays a major role in the ageing of different tissues. Similarly, in vitro cell ageing during expansion prior to their use in...
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Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft
Consumer-grade cameras have emerged as a cost-effective alternative to conventional scientific cameras in precision agriculture applications....
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Small Unmanned Aerial Vehicles (UAVs) and Remote Sensing Payloads
This chapter navigates the realm of small Unmanned Aerial Vehicles (UAVs) and their integral role in remote sensing applications, focusing on the...
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CropPainter: an effective and precise tool for trait-to-image crop visualization based on generative adversarial networks
BackgroundVirtual plants can simulate the plant growth and development process through computer modeling, which assists in revealing plant growth and...
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Reliable Tree-Level ET Estimation Using Lysimeter and UAV Multispectral Imagery
Because of the recurring water shortages in California, many growers started growing crops that have drought resistance and high economic value to a...
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Develo** an efficiency and energy-saving nitrogen management strategy for winter wheat based on the UAV multispectral imagery and machine learning algorithm
Remote sensing has been used for assisting the precision nitrogen (N) management in wheat ( Triticum aestivum ) production. This study aimed to develop...
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An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing
Peanut is a significant oilseed crop that is often affected by peanut southern blight, a disease that greatly reduces crop yield and quality....
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A multispectral camera system for automated minirhizotron image analysis
AimsRoots are vital organs for plants, but the assessment of root traits is difficult, particularly in deep soil layers under natural field...
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Multi-temporal NDVI analysis using UAV images of tree crowns in a northern Mexican pine-oak forest
The use of unmanned aerial vehicles (UAV) for forest monitoring has grown significantly in recent years, providing information with high spatial...
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An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)
Optical sensors, mounted on uncrewed aerial vehicles (UAVs), are typically pointed straight downward to simplify structure-from-motion and image...
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Estimating canopy chlorophyll in slash pine using multitemporal vegetation indices from uncrewed aerial vehicles (UAVs)
Canopy Chlorophyll Content (CCC) is an important physiological indicator that reflects the growth stage of trees. Accurate estimation of CCC...
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Enhancing phenoty** efficiency in faba bean breeding: integrating UAV imaging and machine learning
Unmanned aerial vehicles (UAVs) equipped with high-resolution imaging sensors have shown great potential for plant phenoty** in agricultural...
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On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system
This study assesses the potential of using multispectral images collected by an unmanned aerial system (UAS) on machine learning (ML) frameworks to...
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Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data
Proximal and remote sensors have proved their effectiveness for the estimation of several biophysical and biochemical variables, including yield, in...
